text: # GA Setup
  POPSIZE = 100
  NGEN = 300
  
  # Mutation Hyperparameters
  # range of the mutation
  MUTLOWERBOUND = 0.01
  MUTUPPERBOUND = 0.6
  
  # Reseeding Hyperparameters
  # extent of the reseeding operator
  RESEEDUPPERBOUND = 10
  
  K_SD = 0.001
  
  # K-nearest
  K = 1
  
  # Archive configuration
  ARCHIVE_THRESHOLD = 1.5
  
  # Dataset
  EXPECTED_LABEL = 5
  
  #------- NOT TUNING ----------
  
  # mutation operator probability
  MUTOPPROB = 0.5
  MUTOFPROB = 0.5
  
  IMG_SIZE = 28
  num_classes = 10
  
  
  INITIALPOP = 'seeded'
  #INITIALPOP = 'random'
  
  
  GENERATE_ONE_ONLY = False
  
  # Directories
  PATH = "vectorized_images_GA"
  TESTSOURCEPATH = "source_images_GA"
  TRAINSOURCEPATH = "source_images_trainset"
  
  #MODEL = 'models/cnnClassifier_lowLR.h5'
  MODEL = 'models/cnnClassifier.h5'
  
  ORIGINAL_SEEDS = "first_generation"
  RESULTS_PATH = 'results'